Polaritonic neuromorphic computing outperforms linear classifiers
Machine learning software applications are ubiquitous in many fields of science and society
for their outstanding capability to solve computationally vast problems like the recognition of …
for their outstanding capability to solve computationally vast problems like the recognition of …
An efficient image encryption scheme using elementary cellular automata with novel permutation box
A Kumar, NS Raghava - Multimedia Tools and Applications, 2021 - Springer
Digital image communication over public networks requires a high level of security to protect
picture elements that represent information. Security is an important and challenging issue …
picture elements that represent information. Security is an important and challenging issue …
Accelerating hyperdimensional computing on fpgas by exploiting computational reuse
Brain-inspired hyperdimensional (HD) computing emulates cognition by computing with
long-size vectors. HD computing consists of two main modules: encoder and associative …
long-size vectors. HD computing consists of two main modules: encoder and associative …
[HTML][HTML] Self-classifying mnist digits
Self-classifying MNIST Digits Distill About Prize Submit Self-classifying MNIST Digits Achieving
Distributed Coordination with Neural Cellular Automata Summary. Each pixel is analogous to …
Distributed Coordination with Neural Cellular Automata Summary. Each pixel is analogous to …
Digital implementation of radial basis function neural networks based on stochastic computing
Nowadays Internet of Things (IoT) and mobile systems use more and more Machine
Learning based solutions, which implies a high computation cost with a low energy …
Learning based solutions, which implies a high computation cost with a low energy …
[HTML][HTML] Cellular automata imbedded memristor-based recirculated logic in-memory computing
Memristor-based circuits offer low hardware costs and in-memory computing, but full-
memristive circuit integration for different algorithm remains limited. Cellular automata (CA) …
memristive circuit integration for different algorithm remains limited. Cellular automata (CA) …
[HTML][HTML] An efficient cellular automata-based classifier with variance decision table
P Wanna, S Wongthanavasu - Applied Sciences, 2023 - mdpi.com
Classification is an important task of machine learning for solving a wide range of problems
in conforming patterns. In the literature, machine learning algorithms dealing with non …
in conforming patterns. In the literature, machine learning algorithms dealing with non …
Hardware-optimized reservoir computing system for edge intelligence applications
Edge artificial intelligence or edge intelligence is an ever-growing research area due to the
current popularization of the Internet of Things. Unfortunately, incorporation of artificial …
current popularization of the Internet of Things. Unfortunately, incorporation of artificial …
MemCA: All-Memristor Design for Deterministic and Probabilistic Cellular Automata Hardware Realization
Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding
long-distance information transfer of conventional computers by the massive parallel …
long-distance information transfer of conventional computers by the massive parallel …
[HTML][HTML] Chaos may enhance expressivity in cerebellar granular layer
K Tokuda, N Fujiwara, A Sudo, Y Katori - Neural Networks, 2021 - Elsevier
Recent evidence suggests that Golgi cells in the cerebellar granular layer are densely
connected to each other with massive gap junctions. Here, we propose that the massive gap …
connected to each other with massive gap junctions. Here, we propose that the massive gap …